The contraction mapping theorem says that if a nonempty complete metric space has a map satisfying for every and some fixed , then has a unique fixed point , and for every starting point. In particular ; an estimate using only consecutive iterates is .
Let and for . Direct subtraction gives
Thus every iterate after the first lies in . On this interval,
The mean value theorem gives a uniform Lipschitz constant , and maps the interval into itself. The interval is closed in , hence complete. By the contraction mapping theorem, its iterates converge to its unique fixed point, which is . Therefore every positive initial guess converges to .
The local error satisfies the sharper exact recursion
In relative error , this is . Thus when , the next relative error is approximately : one step roughly doubles the number of correct decimal digits. In particular one further step suffices for one additional digit once the iteration is sufficiently close. For absolute-error accuracy, the precise sufficient condition gives ; this states explicitly how close is sufficient when has an arbitrary scale.

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